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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Phylogenomics
|
|---|---|
| Chapter number | 5 |
| Book title |
Comparative Genomics
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7463-4_5 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7461-0, 978-1-4939-7463-4
|
| Authors |
José S. L. Patané, Joaquim MartinsJr., João C. Setubal, Joaquim Martins |
| Abstract |
Phylogenomics aims at reconstructing the evolutionary histories of organisms taking into account whole genomes or large fractions of genomes. The abundance of genomic data for an enormous variety of organisms has enabled phylogenomic inference of many groups, and this has motivated the development of many computer programs implementing the associated methods. This chapter surveys phylogenetic concepts and methods aimed at both gene tree and species tree reconstruction while also addressing common pitfalls, providing references to relevant computer programs. A practical phylogenomic analysis example including bacterial genomes is presented at the end of the chapter. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 19% |
| Student > Master | 7 | 17% |
| Researcher | 6 | 14% |
| Student > Ph. D. Student | 4 | 10% |
| Student > Doctoral Student | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 11 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 31% |
| Agricultural and Biological Sciences | 11 | 26% |
| Environmental Science | 2 | 5% |
| Immunology and Microbiology | 2 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 11 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 December 2017.
All research outputs
#14,370,803
of 23,012,811 outputs
Outputs from Methods in molecular biology
#4,226
of 13,156 outputs
Outputs of similar age
#240,477
of 442,345 outputs
Outputs of similar age from Methods in molecular biology
#432
of 1,498 outputs
Altmetric has tracked 23,012,811 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,156 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 442,345 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.